Here is the graph showing the overall scores—for the week of Nov 3, 2025—of the UI definition of all Azure Application plans (Managed Apps or Solution Templates) in the Microsoft Marketplace....

Azure Marketplace statistics and trends for the week of Nov 3, 2025. The Microsoft Marketplace is a vibrant bazaar of applications and solutions that are built on top of Azure in one way or another. While it's true that some of the Marketplace's SaaS offers are not entirely hosted on Azure, a significant number is. The Azure Marketplace has a great potential and opportunities for growth, especially in the Azure Application offer—an area that has recently become more appealing for agentic AI and bundling AI solutions....

When deploying Azure Managed Applications, CreateUiDefinition.json files are essential. They define the user interface for your solution, guiding users through configuration options in the Azure portal. But let’s be honest—writing these files manually can be time-consuming and error-prone....

Expressions are one of the gnarliest parts of a createUiDefinition.json when it comes to debugging and troubleshooting issues. There are no validation tools for UI expressions. Maestro Studio ENSEMBLE sports a parser that generates an Abstract Syntax Tree and a JIT compiler that takes the AST to the next level, generating validation messages, warning and error locations, and just-in-time values of expression in design-time....

The best way to learn how to build an Azure Managed Application (AMA) is to start with a real, working example, NOT a simple, hello world sample!...

Yes, the stat is correct. The number would have been even closer to 100% if it weren't for some enterprise customers who have their subscriptions created and initialized by their IT team before furnishing the subscriptions to the business units that will be using them. This issue is specific to a type of Azure Marketplace offer called Azure Applications. And within that offer type, it applies mainly to a plan type called Azure Managed Application (AMA)....

While this is not news at all since natural language use for generating Infrastructure as Code has been going on for the last 3+ years, the title is a depiction of the reality that is taking shape alongside and in-sync with the evolution and progress of foundation models. It's true that the foundation models, specifically Large Language Models (LLM), including the recent reasoning type LLMs, are still not quite ready to produce production-ready code on their own, the state of the AI coding assistant industry has improved the output quality so much in recent months by using several hybrid techniques to augment foundation models with fine-tuned, domain-specific or domain-adapted models, as well as leveraging workflows orchestrating a plethora of tools. Some scenarios are even leveraging non-Transformer architecture-based AI along with custom machince learning (ML) worflows for training and inference. As more effort is now being devoted to R&D vs. hype, we're seeing incredible progress, especially great results from our own R&D lab, which we've been showcasing in our products....

StratusOn Crescendo Analytics: Agentic AI in action: Moka's Deployment Health dashboard, shown below, is powered by the StratusOn Crescendo Analytics service—a mesh of AI agents (called actors) deployed across all Azure regions, collecting real-time reliability, capacity and health analytics data from each Azure region....

If you've ever tried deploying an ARM template you found on GitHub, you know the drill: outdated API versions, hidden expression bugs, region-specific resource hiccups. You spend hours troubleshooting cryptic errors in the Azure Portal or tearing your hair out in Visual Studio Code—only to hit another snag at deployment time....

Imagine you're a cloud engineer onboarding a team member who prefers working in Arabic or Hebrew. You need deployment templates, documentation and dashboards in right-to-left text—all aligned and error-free. Manual translation, stylesheet tweaks and endless testing can take days. What if you could describe your infrastructure in your own words—and your own language—and get fully functional Azure assets back in minutes?...